PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-04-26 10:21:43.535700+00:00 (UTC)
In US/Central Time, this is 2024-04-26 05:21:43.535700-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/9709b01b2dc3733f3f7c7e7775db4f0cb5e180e5252fe8e6d8c0619d0f90666a.png
We are just generating a random time serie here.
../_images/044fa037d22dbd2b5808db4017b644ae0c56cf6db8efc4ee14fad21383d177f3.png
../_images/f3a93340e2ea4e8b7568fe8c083304eb1453f19dc0fb84e5c4f1764b028155b4.png